Instructions to use WikiQuality/raw_wiki.ee with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use WikiQuality/raw_wiki.ee with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="WikiQuality/raw_wiki.ee")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("WikiQuality/raw_wiki.ee") model = AutoModelForMaskedLM.from_pretrained("WikiQuality/raw_wiki.ee") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ae07f725e70fb9a33a4786826a9dc9a137a30c802e891f9854ab4d033914a7c9
- Size of remote file:
- 253 kB
- SHA256:
- f7bce10c66a56eb821b29af0b8b537b551bbdc92bfd758f6c1d12564f201473c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.